Authors: Emanuel Diamant
Ali Rahimi, best paper award recipient at NIPS 2017, labelled the current state of Deep Learning (DL) headway as “alchemy”. Yann LeCun, one of the prominent figures in the DL R&D, was insulted by this expression. However, in his response, LeCun did not claimed that DL designers know how and why their DL systems reach so surprising performances. The possible reason for this cautiousness is: No one knows how and in which way system input data is transformed into semantic information at the system’s output. And this, certainly, has its own reason: No one knows what information is! I dare to offer my humble clarification about this obscure and usually untouchable matter. I hope someone would be ready to line up with me.
Comments: 7 Pages. Rejected by the IJCNN 2018, Rio de Janeiro, July 08-13, 2018.
[v1] 2018-04-07 10:28:34
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